Trap Attention

The implementation of Trap Attention: Monocular Depth Estimation with Manual Traps

Environment

• python 3.8
• pytorch 1.7.1 (>=1.2.0)

Checkpoint

Google drive

Citation

If you use this code for a paper, please cite:

@inproceedings{ning2023trap,
  title={Trap Attention: Monocular Depth Estimation with Manual Traps},
  author={Chao Ning and Hongping Gan},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition},
  pages={},
  year={2023}
}

Acknowledgement

This repo benefits from awesome works of Timm, Monocular-Depth-Estimation-Toolbox, MMSeg and Monocular-Depth-Estimation-Toolbox.